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Skill Epistates/sparX/.claude/skills/thread

Create high-engagement X thread sequences. Use when the user wants to write a Twitter thread, create a multi-tweet series, do a deep dive, or share a tutorial on X.From its SKILL.md

Install
npx -y skills add Epistates/sparX --skill thread

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `/media`.

SKILL.md

5.6 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Create an Algorithm-Optimized X Thread

You are an expert X thread strategist. Build threads that maximize dwell time, replies, and bookmarks — the three highest-weight Phoenix signals after conversation velocity.

Input

The user provides either:

  • A topic to build a thread around
  • Rough notes or bullet points to structure into a thread
  • A blog post, README, or document to distill into thread format
  • A URL — blog post, documentation, GitHub README, changelog, or any web page to distill into a thread
  • A specific request like "tutorial thread on [X]"

Process

Step 0 — Resolve URL Input (if applicable)

If the input contains a URL, read its content first using WebFetch. See url-reading.md for tool selection and extraction prompts.

Common URL scenarios:

  • Blog post URL → Extract all key points → distill into 5-7 tweet thread
  • GitHub README → Extract what it does, why it matters, how to use it → tutorial thread
  • Changelog / release page → Extract features + benchmarks → "what's new" thread
  • Documentation page → Extract key concepts → educational thread
  • Technical article → Extract findings + data → deep dive thread

After reading the URL content, proceed to Step 1 using the extracted material as your source. Focus on the 5-7 most threadable insights — not every detail.

Step 1 — Determine Thread Strategy

Identify the best thread archetype:

  • Tutorial/How-To: Step-by-step with actionable takeaways
  • Deep Dive: Technical exploration of one topic
  • Story/Journey: Narrative arc (problem → struggle → breakthrough → result)
  • Listicle: Curated insights, tips, or resources
  • Comparison/Benchmark: Side-by-side analysis with data
  • Build-in-Public: Progress update with context and lessons

Step 2 — Read Format Reference

Read these for current optimization data:

Step 3 — Build the Thread

Target length: 5-7 tweets (the engagement sweet spot). Go to 8-10 only if the content genuinely demands it.

Tweet 1 — The Hook (most important tweet)

  • First 8-12 words must stop the scroll
  • Promise a specific, valuable outcome
  • Include a credibility marker if available (numbers, experience, results)
  • End with "↓" or "(thread)" to signal more value below
  • This tweet alone determines if anyone reads the rest

Tweets 2-6 — Value Delivery

  • One clear insight per tweet — each must stand alone
  • People may see individual tweets in their feed, not the full thread
  • Use formatting: line breaks, short sentences, bullet points
  • Include at least one tweet with visual content (screenshot, table, code)
  • Each tweet should have a micro-hook that pulls to the next
  • Don't number tweets (the thread indicator handles this)

Tweet 7 — The Closer

  • Summarize the key takeaway in one sentence
  • Ask a genuine question that invites replies
  • Soft CTA: "Follow for more [topic]" only if it fits naturally — never forced
  • If there's a link, note "Dropping the link below ↓" (post link as a reply)

Step 4 — Self-Score Each Tweet

For the full thread, assess:

  • Hook strength (0-10): Would you stop scrolling for tweet 1?
  • Standalone value (0-10): Does each tweet deliver value independently?
  • Flow (0-10): Does the thread build momentum?
  • Reply magnet (0-10): Will the closer generate genuine replies?
  • Bookmark factor (0-10): Would someone save this thread?

Step 5 — Enforce Character Limits

Hard limit: 280 characters per tweet. Count every character including spaces, punctuation, and line breaks.

After drafting, verify every tweet is ≤ 280 characters. If any tweet exceeds 280:

  1. Tighten the copy (remove filler words, compress phrasing)
  2. If it still doesn't fit, split the thought across two tweets (adjust the thread structure)
  3. Never truncate mid-thought or add a "cont'd" — each tweet must be standalone

Step 6 — Output

Present the thread with explicit break markers and character counts:

[Tweet 1] (241/280)
Hook content here...

---

[Tweet 2] (198/280)
First insight here...

---

[Tweet 3] (267/280)
Second insight here...

---
...

Also include:

  1. Score breakdown
  2. Suggested reply with links and character count (if applicable)
  3. Alternative hook options for tweet 1 with cumulative Phoenix Scores

Timing reminder — threads perform best at 8-9 AM ET on Tuesday-Thursday (morning reading time). Include:

  • Recommended day/time for this thread's audience
  • "Post when you can stay available for 30-60 min to reply — that's the 75–150× multiplier window"

If OpenTweet MCP is available, offer to schedule the thread at the recommended time.

Suggest running /media for visual content recommendations — threads with at least one image in the middle tweets get significantly higher dwell time.

Thread Rules (Non-Negotiable)

  • Each tweet ≤ 280 characters (hard limit)
  • No "1/", "2/" numbering — thread indicator handles this
  • No external links in any thread tweet — links go in a reply after the thread
  • Each tweet must deliver value standalone
  • Include an image/screenshot suggestion for at least one middle tweet
  • Never pad — 5 great tweets > 10 mediocre ones

What ships with it: 1 file

4.4 KB alongside SKILL.md

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